G. Sravan Kumar

Work place: Department of Computer Science and Engineering, ANU College of Engineering, Acharya Nagarjuna University, Guntur, Andhra Pradesh, 522510, India

E-mail: sravanphdcse@gmail.com

Website:

Research Interests: Computer Networks, Information Security

Biography

G. Sravan Kumar received his B.Tech. Degree from JNTUH, Hyderabad, Telangana, India. He obtained his M.Tech. Degree JNTUH, Hyderabad, Telangana India and Persuing Ph.D. Degree from ANU, Guntur, Andhrapradesh, India, he is currently working as an Associate Professor in Sreyas institute of engineering and technology, Hyderabad, Telangana India. His current Research Interests are in Computer networks & Information Security and Algorithms. He can be contacted at Email: Sravanphdcse@gmail.com.

Author Articles
Traitor Traceable and Revocation-oriented Attribute Based Encryption with Proxy Decryption for Cloud Devices

By G. Sravan Kumar A. Sri Krishna

DOI: https://doi.org/10.5815/ijcnis.2024.03.04, Pub. Date: 8 Jun. 2024

Cloud storage environment permits the data holders to store their private data on remote cloud computers. Ciphertext Policy Attribute Based Encryption (CP-ABE) is an advanced method that assigns fine-grained access control and provides data confidentiality for accessing the cloud data. CP-ABE methods with small attribute universe limit the practical application of CP-ABE as the public parameter length linearly increases with the number of attributes. Further, it is necessary to provide a way to perform complex calculations during decryption on outsourced devices. In addition, the state-of-art techniques found it difficult to trace the traitor as well as revoke their attribute due to the complexity of ciphertext updation. In this paper, a concrete construction of CP-ABE technique has been provided to address the above limitations. The proposed technique supports large attribute universe, proxy decryption, traitor traceability, attribute revocation and ciphertext updation. The proposed scheme is proven to be secure under random oracle model. Moreover, the experimental outcomes reveal that our scheme is more time efficient than the existing schemes in terms of computation cost.

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